Fed Warns Against Rate Hikes Amid AI Inflation

The Federal Reserve has published a document outlining the economic implications of Artificial Intelligence, signaling a nuanced perspective on the current hiking cycle.

Markets are anticipating five additional rate increases, a scenario that evokes concerns reminiscent of the 1990s, when interest rates climbed from 3% to 6%.

Prices for high-end consumer-grade GPUs, such as the 5090s, have experienced substantial spikes, with some units selling for up to $7,000.

The Federal Reserve attributes this to demand concentrated within AI-related sectors rather than a broad increase across the entire economy.

It is expected that adjustments in the supply chain will naturally resolve these specific price pressures without requiring broader monetary intervention.

The rate of price growth for these components is showing a negative second derivative, a deceleration that confirms the Federal Reserve’s expectation that supply will eventually meet demand.

Federal Reserve official Lisa Cook stated that the Fed's policy tools are too broad to effectively target sector-specific price shifts, such as those seen in AI.

She cautioned that attempting to curb AI-related inflation through interest rate increases could constitute a historical policy misstep.

The situation draws a parallel to Alan Greenspan's final rate hike in 2000, which is frequently cited as a contributing factor to the bursting of the dot-com bubble.

Federal Reserve Governor Lisa Cook acknowledges that broad-based inflation pressures persist in sectors like energy and labor.

She anticipates that productivity gains from AI will contribute modest disinflation within the next few years, noting that increased supply, particularly in memory chips, should lead to falling prices.

However, Cook does not expect these disinflationary effects to materialize quickly enough to offset broader inflationary pressures later this year, implying a need for careful near-term policy decisions even as long-term trends may diverge.

Lisa Cook outlined three significant risks that could lead to deflationary pressures: productivity gains concentrated among high-income earners who tend to spend less, wages failing to grow in line with productivity improvements, and job reallocation leading to higher unemployment and increased household savings.

These factors are identified as structural deflationary forces, which could counterbalance geopolitical inflation.

Consequently, hiking rates based solely on supply-side issues, such as AI adoption, could result in a policy error.

While market concentration could theoretically lead to reduced competition and higher markups, the speaker argues that there is substantial competition in the A6 and GPU markets.

The realization of disinflationary benefits from AI depends on the speed and breadth of its adoption by businesses, even as historical anxieties surrounding new technologies like the printing press are considered normal, with currently limited evidence that AI is drastically altering the labor market.

AI is anticipated to decrease labor demand in sectors like coding and software, making it increasingly difficult for recent college graduates to secure initial employment.

Lisa Cook is closely monitoring a scenario where AI could lead to a temporary increase in the unemployment rate, underscoring the potential for a skills mismatch between existing workers and new job requirements and highlighting the need for long-term retraining initiatives.

The Federal Reserve could consider lowering the Fed funds rate to stimulate employment.

However, this action carries the risk of reigniting inflationary pressures.

Despite often lagging behind larger corporations, smaller firms are demonstrating adaptability in adopting AI.

AI tools are lowering barriers to entry for early-stage founders, contributing to a historic boom in new business formation observed recently.

If global geopolitical issues were to subside, deflationary forces would become a more prominent economic concern than inflationary pressures.

This perspective represents a contrarian view given current rising yields, as geopolitical resolutions could lead to stabilization in oil and other commodity prices.

There is an estimated 30% to 40% chance that no further rate hikes will occur.

A potential deal with Iran could significantly reduce oil prices, potentially from $105 to between $70 and $80 per barrel.

The Federal Reserve may opt to await data in November or December that could show lower headline inflation figures.

Stabilizing geopolitical factors, particularly oil prices, could alleviate the need for additional monetary tightening.

Reducing reliance on external platforms by deploying local hardware and open-weight models offers a pathway for businesses to improve their margins, as one expert noted, "I actually think you could make money buying your own GPUs, buying your own CPU, your little mini PCs or whatever."

This approach reduces reliance on expensive paid platforms such as Claude or GPT, thereby generating long-term operational savings through hardware investment.

Lisa Cook highlighted that AI adoption is occurring at a faster pace than the historical cycles of PC or internet integration.

Startups are leveraging frontier technologies to achieve significant innovative breakthroughs, aligning with the concept of a 'ROR moment' where ideation translates into tangible innovation.

AI is enabling small businesses to scale more rapidly, a trend that is expected to create more jobs and boost overall economic productivity.

Hiking interest rates in response to inflation primarily driven by supply constraints, rather than demand, may constitute a policy error.

Such actions risk exacerbating issues like wealth concentration, stagnant wage growth, and job displacement during periods of retraining.

These underlying factors are fundamentally deflationary or disinflationary, contrasting with broader inflationary concerns.

The Federal Reserve is signaling that the long-term economic outlook is likely to be deflationary once supply catches up with demand.

A shift to negative territory in the second derivative tracks a collapse in momentum, rather than just the immediate 15% increase measured by the first derivative.

The second derivative, which tracks the rate of change of that price growth, becomes a key indicator, with a shift to negative territory suggesting a collapse in momentum and signaling that Micron's upcoming earnings will be crucial for assessing whether supply is catching up with demand.

The first derivative measures the immediate price change, exemplified by a memory price increase from $18 to $20.70, an approximate 15% move.

The second derivative, defined as the 'change of the change,' indicates whether the growth rate itself is accelerating (e.g., from 15% to 30% to 60%, implying a doubling) or decelerating, where a negative second derivative signals that the growth trend 'goes off a cliff' as the rate flips from strong positive to negative.

As supply becomes available, the market is expected to stabilize, aligning with observations from Federal Reserve Governor Lisa Cook regarding overall market supply and economic indicators.